Name
Abstract | ||
|---|---|---|
Sparse spatiotemporal data completion is crucial in Mobile CrowdSensing for urban application scenarios. In fact, accurate urban data completion can enhance data expression, improve urban analysis, and ultimately guide city planning. However, it is a non-trivial task to consider outlier values caused by the special events (e.g., parking peak, traffic congestion, or festival parade) in spatiotempor... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IWQOS52092.2021.9521275 | 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS) |
Keywords | DocType | ISSN |
Sparse Mobile CrowdSensing,matrix completion,outlier value,memory network | Conference | 1548-615X |
ISBN | Citations | PageRank |
978-1-6654-1494-4 | 1 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| En Wang | 1 | 21 | 8.13 |
| Mijia Zhang | 2 | 1 | 0.34 |
| Yongjian Yang | 3 | 39 | 14.05 |
| Yuanbo Xu | 4 | 2 | 1.03 |
| Jie Wu | 5 | 8307 | 592.07 |